OpenAI compatible API · Attested · Public status

MoonshotAI: Kimi K3 vs OpenAI Text Embedding 3 Large

MoonshotAI: Kimi K3 vs OpenAI Text Embedding 3 Large: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

Verify gateway

Onebase URL to migrate

100sof models and routes

0prompt or output logs. Always.

Compare routesProviders, price, context, and policy posture in one view.

Use auto when uptime mattersKeep a primary model and let fallback handle provider failures.

Same API shapeUse the OpenAI client and set the model you want.

Practical read

Monthly evidence

OpenAI Text Embedding 3 Large has the lower cheapest prompt+completion route on TrustedRouter. MoonshotAI: Kimi K3 has more provider fallback routes, while MoonshotAI: Kimi K3 has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

$12.3435/1MMoonshotAI: Kimi K3 cheapest route

$0.13715/1MOpenAI Text Embedding 3 Large cheapest route

809 msMoonshotAI: Kimi K3 fastest measured p50 TTFT via deepinfra

not enough dataOpenAI Text Embedding 3 Large fastest measured p50 TTFT

Prices and live route measurements can change. Use the monthly reports when you need a stable evidence window, then run a small task-specific eval before choosing a production default.

MoonshotAI: Kimi K3OpenAI Text Embedding 3 Large

Model idmoonshotai/kimi-k3openai/text-embedding-3-large

Publisher Kimi OpenAI

AI IQ IQ 121#27 —

Context1,048,576 tokens8,191 tokens

Credits provider routes241

Cheapest route$12.3435/1M$0.13715/1M

Cached input$0.205725/1M to $1.693275/1MNot published

Privacy posturehas provider E2EE routehas ZDR route

Fastest measured p50 TTFT809 ms via deepinfranot enough data

Highest measured throughputnot enough datanot enough data

Recent route uptime range0.00% to 100.00%100.00%

Modes chat embeddings

MoonshotAI: Kimi K3 routes

Overview24 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

OpenAI Text Embedding 3 Large routes

Overview1 Credits routes

Related comparisons

Browse every comparison

MoonshotAI: Kimi K3 vs Z.ai: GLM 5.252 combined provider routes
MoonshotAI: Kimi K3 vs Z.ai: GLM 5.350 combined provider routes
MoonshotAI: Kimi K3 vs Z.ai: GLM 5.3 Flash50 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs MoonshotAI: Kimi K348 combined provider routes
MoonshotAI: Kimi K3 vs OpenAI: gpt-oss-120b46 combined provider routes
MoonshotAI: Kimi K2.6 vs MoonshotAI: Kimi K344 combined provider routes
DeepSeek: DeepSeek V4 Flash 0423 vs MoonshotAI: Kimi K341 combined provider routes
DeepSeek: DeepSeek V4 Pro 0423 vs MoonshotAI: Kimi K340 combined provider routes

Production choice

Pick a default model. Keep fallback enabled.

TrustedRouter is useful when you know the model you want, but still need provider rollover, budget limits, usage records, and a prompt path you can verify.

OpenAI clientPython

client = OpenAI(
    base_url="https://api.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="moonshotai/kimi-k3",
    messages=messages,
)

Questions

Which should I use, MoonshotAI: Kimi K3 or OpenAI Text Embedding 3 Large?

Is MoonshotAI: Kimi K3 or OpenAI Text Embedding 3 Large cheaper?

The current cheapest TrustedRouter route is $12.3435/1M for MoonshotAI: Kimi K3 and $0.13715/1M for OpenAI Text Embedding 3 Large. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K3 or OpenAI Text Embedding 3 Large faster?

Current measured p50 time to first token is 809 ms for MoonshotAI: Kimi K3 and not enough data for OpenAI Text Embedding 3 Large. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K3 and OpenAI Text Embedding 3 Large with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between moonshotai/kimi-k3 and openai/text-embedding-3-large. This makes side-by-side evals possible without maintaining two provider integrations.